Analyzing Social Networks Using R (SAGE Publications)
Friday, 24 June 2022

This book introduces network research in R, walking the reader through every step of doing social network analysis. Drawing together research design, data collection and data analysis, Stephen Borgatti et al explain the core concepts of network analysis in a non-technical way. The book balances an easy to follow explanation of the theoretical and statistical foundations underpinning network analysis with practical guidance on key steps like data management, preparation and visualisation.

<ASIN:1529722470>

It presents an easy to follow explanation of the theoretical and statistical foundations underpinning network analysis with practical guidance on key steps like data management, preparation and visualisation.

Author: Stephen Borgatti, Martin Everett, Jeffrey Johnson and Filip Agneessens
Publisher: SAGE Publications Ltd
Date: June 2022
Pages: 384
ISBN: 978-1529722475
Print: 1529722470
Kindle: B09YMFBVX2
Audience: data analysts
Level: Intermediate
Category: Data Science

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Classic Computer Science Problems in Python

Author: David Kopec
Publisher: Manning
Date: March 2019
Pages: 224
ISBN: 978-1617295980
Print: 1617295981
Kindle: ‎ ‎ B09782BT4Q
Level: Intermediate
Audience: Python developers
Category: Python
Rating: 4
Reviewer: Mike James
Classic algorithms in Python - the world's favourite language.



Algorithms: Absolute Beginner's Guide

Author: Kirupa Chinnathambi
Publisher: Addison-Wesley
Date: November 2023
Pages: 416
ISBN: 978-0138222291
Print: 0138222290
Kindle: B0CCTZ37DQ
Audience: General
Rating: 4.5
Reviewer: Kay Ewbank

Subtitled 'a practical introduction to data structures and algorithms in JavaScript', this book is split into tw [ ... ]


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